Dive into the world of artificial intelligence with our hands-on introductory course! This six-week training provides a comprehensive introduction to and exploration of AI fundamentals and their transformative role in workforce development. Using materials from the Intel AI for Workforce program and the Orange data mining software, you'll not only gain a solid grasp of AI concepts but also hands-on experience with the following:

• AI Fundamentals: Start with the basics of Artificial Intelligence, diving into its core principles and real-world applications.
• AI vs. Generative AI vs. Chatbots: Uncover the distinctions between these exciting technologies and their unique uses.
• Practical Use Cases: Discover how AI is revolutionizing workforce sectors such as healthcare, finance, and more.
• Open-Source Tools: Evaluate and compare tools like ChatGPT and Advanced Gemini, and learn how they enhance professional tasks.
• Mathematical Computing: Get comfortable with SciPy and NumPy for data analysis and AI modeling.
• Natural Language Processing (NLP): Understand the generation of NLP and its practical applications.

Engage in practical projects, like building chatbots, without needing any prior programming experience. This course emphasizes learning by doing, incorporating no-code tools and introductory Python coding to empower you to create your own AI applications.

The course, AI in Cybersecurity, is a comprehensive program designed to bridge the gap between artificial intelligence and defensive security measures. It begins by establishing the fundamental concepts of both Cybersecurity and AI, exploring frameworks like the CIA Triad and the NIST AI Risk Management Framework, and analyzing the evolving cyber threat landscape, including the rise of AI-powered attacks. The core of the course focuses on practical AI applications, covering Machine Learning (supervised and unsupervised) for tasks like malware and anomaly detection, as well as the use of Generative AI and Large Language Models for vulnerability discovery and threat prevention. The final weeks delve into advanced security operations, including AI-driven network traffic analysis, Security Orchestration, Automation, and Response (SOAR), incident response strategies, malware analysis, and applied penetration testing techniques, all culminating in a practical project.

This course provides a practical, hands-on introduction to Generative AI, Agents and Agentic for beginners. Participants will explore how modern AI systems can generate content, interact with users, use tools and external resources, reason through tasks, and work autonomously toward defined goals. Participants will learn to use and understand a range of AI tools and platforms, including ChatGPT, Gemini, Claude, Copilot, DALL·E, and other generative AI and agentic AI technologies to create text, images, audio, video, applications, workflows, and intelligent assistants.

The course is project-based and combines short lectures, demonstrations, discussions, and hands-on labs. Participants will progress from foundational concepts and prompt engineering to building individual AI agents and groups of agents that can collaborate to accomplish more complex tasks. Emphasis will be placed on practical applications, problem-solving, critical evaluation, and the ethical, legal, and responsible use of Generative and Agentic AI.

Introduction to Machine Learning introduces learners to the concepts and terminology of Artificial Intelligence (AI), machine learning, and generative AI.

By the end of this course, students will be able to select and apply Amazon Web Services to resolve business problems using machine learning. They will also be able to label, build, train, and deploy a custom machine learning model through a guided, hands-on approach. In addition, students will get first experience working with generative AI through a guided, hands-on lab.